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Responsible AI
AI boosts business but presents challenges. A Responsible AI framework allows leaders to harness its transformative potential and mitigate risks.
Our systematic and technology-enabled approach to responsible AI provides a cross-industry and multidisciplinary foundation that fosters innovation at scale and mitigates risks throughout the AI lifecycle across your organization.
What does Responsible AI mean for business leaders?
The global artificial intelligence (AI) market is expected to have unprecedented growth over the next several years. This growth potential is sparking fundamental shifts in value creation, operating models and the very nature of work across all industries and geographies. At the same time, the regulatory environment around AI is growing quickly and new risks are emerging every day. To succeed in this environment and establish trust, organizations must leverage AI responsibly.
What EY can do for you
To meet the AI moment, having an agile, vigilant and purposeful responsible AI strategy in place that aligns with organizational values and drives business outcomes will enable your organization to:
- Compete: Gain competitive advantage by building trust.
- Protect: Identify and safeguard AI assets and preserve value generated through the use of AI.
- Accelerate: Achieve speed to market while navigating legal and regulatory obligations with confidence.
Supported by a comprehensive suite of solutions covering the AI ecosystem, our Responsible AI team helps with:
- AI strategy and governance
- AI ModelOps
- AI risk management and enablement
- EY.ai Confidence Index
Our Responsible AI solutions
Establish a ‘responsible AI by design’ approach, powered by a governance framework and operating model that balances risk management and flexibility in the AI development lifecycle to effectively manage the use of AI across the organization.
Our AI Strategy and Governance solution establishes the foundation for an agile, vigilant, and purposeful responsible AI program that aligns with your organization’s strategic vision and objective to drive competitive advantage. It also mitigates key risks associated with the design, development, deployment and use of AI. This EY solution entails the following services:
- AI strategy and framework
- Policies, procedures and standards
- Operating model and RACI matrix¹
- AI inventory
- Foundational risk components, including risk taxonomy and risk assessment enhancements
- Enterprise training
- Talent acquisition and development strategy
Our approach can help you answer the following questions with confidence:
- Does your organization have line of sight into how is AI being used across functions?
- Does your organization have a strategy around responsible AI by design and an approach to de-risk AI?
- Are your organization’s AI deployments meeting its responsible AI standards and regulatory requirements?
- Does your organization have the right AI operating model and governance structure to provide efficient and effective oversight while accelerating speed to market?
- What are the risks associated with AI usage across the organization, how are those risks being controlled and measured consistently, and are they being managed effectively?
- Does your organization have automated processes and technologies in place to develop and deploy AI solutions consistently?
- Does your organization have line of sight into the ongoing performance of AI solutions to prevent unintended outcomes?
- How your organization reimagine its talent acquisition and development strategy to harness the power of AI and accelerate growth?
The team
Our latest thinking
4 pillars of a responsible AI strategy
Corporate AI adoption is surging amid genAI advancements. Establishing responsible AI policies is crucial to mitigate risks and ensure compliance.
22 Jan 2025
Samta Kapoor
‘Braking’ the risk speed limit: move fast, confidently
Discover how EY's AI-enabled platforms provide the 'brakes' for risk management, enabling organizations to innovate rapidly with confidence and control.
21 Aug 2024
Sinclair Schuller
Why AI fuels cybersecurity anxiety, particularly for younger employees
Workers say they are worried that they are putting their organizations — and careers — at risk, new EY survey says. Here’s what to do about it.
22 May 2024
Responsible AI means finding the balance between risk and reward
Understand the key challenges, potential risks, and strategies for adopting AI responsibly with these practical guidelines
07 May 2024
Sinclair Schuller
GenAI risks and challenges for the economy
Learn about the expected impact of GenAI on the labor market by exploring our four key findings regarding GenAI use.
09 Apr 2024
Lydia Boussour
How to navigate global trends in Artificial Intelligence regulation
Learn why the AI regulatory approach of eight global jurisdictions have a vital role to play in the development of rules for the use of AI.
12 Jan 2024
EY Americas
Key takeaways from the Biden administration executive order on AI
President Biden issued an Executive Order on AI with the goal of promoting “safe, secure, and trustworthy development and use of artificial intelligence.”
31 Oct 2023
Bridget Neill
How a global biopharma became a leader in ethical AI
Read this case study about how a science-led biopharma positioned itself as a leader in ethical AI.
15 Aug 2023
Catriona Campbell
How to embrace AI in risk management
Discover how the rise of GenAI promises both unprecedented opportunities and new challenges for risk management.
12 Jun 2024
Sinclair Schuller